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In this study, the method to quantify the effectiveness scale was suggested by selecting travel time saving, CO2 reduction, fuel savings and VMS information provision as benefit items for effect analysis on the national highway ITS project.
In particular, direct effects like travel time saving and operating cost reduction for users and operators as well as indirect effects like noise and air pollution reduction can be expected through ITS construction.
The economic evaluation is the method to analyze effectiveness and economic feasibility of project through economic indicators by quantifying costs and benefit items, and it evaluates economic feasibility by outputting the benefits considering characteristics of ITS by functions in future travel pattern after predicting traffic demand through basic analytical data for evaluation[6].
For benefit items generally used in ITS effect analysis, travel time saving, CO2 reduction, fuel saving and CMS information value benefits were selected.
In this study, the method to quantify the effectiveness scale was suggested by selecting travel time saving, CO2 reduction, fuel savings and VMS information provision as benefit items for effect analysis on the national highway ITS project.

With the continuing growth of data bandwidth, next-generation information technology demands circuit and device scaling to meet performance, form-factor and cost needs.
With increase performance and circuit density, reduction in power dissipation has become paramount for both high-performance and low-power applications.

The horizontal worm which matches the reduction gear is connected to force cell.
They are responsible for data synchronization and data output, respectively.
System software includes key modules, data acquisition, data processing, data display, buzzer alarm and wireless communications.
The main features of the software are as follows: 1) Realize the real-time transmission of license plate information and parking brake performance data. 2) Realize the data access and data correction. 3) Have a friendly human-computer interface.
The test data are shown in Table 1.

Measurements of K/S of the dyed fabrics were made with a Data Color Spectraflash SF600 Plus spectrophotometer with SLI-Form/NG software.
The data for dyeings with fiber reactive dyes are given in Tables 1 – 3.
Table 4 gives color strength and colorfastness data for conventional and cationized cotton dyed with the selected direct dyes.
Table 5 gives the data collected in that study.
Conclusions The use of cationized cotton can provide significant reductions in dye, chemical, water, and energy use as well as allowing for substantial reductions in processing time.

Three tests were conducted in each configuration for data reproducibility, and the average of the three tests was logged.
The acquisition system of the universal testing machine recorded the load-displacement data at a constant cross head speed of five mm/min.
Asignificant reduction in the energy absorption is recorded.
This reduction can be justified by the decrease in the stroke length.
With respect to the specific energy, the reduction ranges from 29% to 39%.

Comparison between the predicted data and the measured ones shows that the higher the precision level is, the more accurate the model prediction will be.
Even though historical data is sparse and arbitrarily distributed, the method is feasible.
According to the above data, the model was established and the NO2 concentrations of the same months in 2012 had been predicted [4].
Through contrasting with the measured data in the else points, the predicted results are reasonable.
It can be seen from Fig. 1 that the pollution trends are basically the same, but the predicted and the measured data are not absolutely one-to-one correspondents.

Ong has made some contribution in the attic and ceiling temperature reduction [4].
During the experiment, all the data were recorded at every 2 min time intervals while the surrounding temperature was 27.5 oC.
Meanwhile, all data were recorded precisely and continued until the temperatures became stable for each experiment.
There was a significant temperature reduction in the attic up to 30.9 ˚C by integrating the ventilation fans with an insulation layer and MAP.
Conclusion This work was aimed at minimizing the heat accumulation as well as attic temperature reduction.

Four incomplete pole figures {110}, {200}, {211} and {310} were measured and the data was processed using program MTM-FHM [15] that is based on series expansion method.
The necessary background and defocusing correction was made using diffraction data obtained from the original doped tungsten powder that was used to manufacture wires.
- (3) where α is the die semi-angle in radians and r is the drawing reduction.
Fig. 6 adjacent maps the ∆-factor and reduction as a function of reducing wire diameter.
Table 2: Table showing mechanical properties obtained from torsion test at an effective strain rate of 2.7 x 10-2 s-1. 5 15 25 35 45 %-reduction ∆-factor Wire diameter Reduction (%) 0 1 2 3 4 5 ∆∆∆∆-factor Fig. 6: Mapping of ∆-factor and drawing reduction as a function of wire diameter.

For investment cost reduction, it is to minimize life-cycle capital and operational expenditures of the planning alternatives (); it is to minimize the total feeder losses in the system () for losses reduction; it is to minimize the average voltage drop in the system () for voltage drop reduction.
The data structure of genes can be depicted as shown in Fig. 1, where SW_No(i), DG_No(i), and Line_No(i) represent the candidate solution of switches, DG, and cable capacity upgrade placements, respectively.
Fig. 1 Data structure of genes for optimal network planning alternative placement By applying the GA to solve the optimal placement of the network planning alternatives, the switch field consists of 2 bits with binary coding in each gene structure and characterizes if a switch exists on the line segment and whether it is normally opened or normally closed.
Comparing the solution obtained from the multiobjective DG placement to that for the initial condition, reductions in the feeder loss, CIC, and average voltage drop are about 65.64%, 52.2%, and 60%, respectively.
It shows that a reduction of about 16.25% in total cost is achieved through the multiobjective DG placement by using the proposed method.

The complete data of the bus system was taken from [8].
The real power losses after reconfiguration showed a significant reduction in a rate of 31.077 % from 0.2024 MW to 0.1395 MW.
The complete data of the bus system was taken from [6].
For the proposed technique, the real power losses after reconfiguration showed a significant reduction in a rate of 31.077 % from 0.2024 MW to 0.1395 MW.
All the distribution system experienced reduction in real power loss when the network is reconfigured using this algorithm.